Deutsch
Bibtex
Cite as text
@Select Types{,
Journal = "Band-1",
Title= "Adoption of Integrated Voice Assistants in Health Care – Requirements and Design Guidelines",
Author= "Mathias Eggert, Max-Alexander Stanke",
Doi= "https://doi.org/10.30844/wi_2020_k2-eggert",
Abstract= "Integrated voice assistants (IVA) receive more and more attention and are widespread for entertainment use cases, such as radio hearing or web searches. At the same time, the health care segment suffers in process inefficiency and missing staff, whereas the usage of IVA has the potential to improve caring processes and patient satisfaction. By applying a design science approach and based on a qualitative study, we identify IVA requirements, barriers and design guidelines for the health care sector. The results reveal three important IVA functions: the ability to set appointments with care service staff, the documentation of health history and the communication with service staff. Integration, system stability and volume control are the most important nonfunctional requirements. Based on the interview results and project experiences, six design and implementation guidelines are derived.
",
Keywords= "integrated voice assistant, speech recognition, human computer interaction, health care",
}
Mathias Eggert, Max-Alexander Stanke: Adoption of Integrated Voice Assistants in Health Care – Requirements and Design Guidelines. Online: https://doi.org/10.30844/wi_2020_k2-eggert (Abgerufen 26.12.24)
Open Access
Abstract
Abstract
Integrated voice assistants (IVA) receive more and more attention and are widespread for entertainment use cases, such as radio hearing or web searches. At the same time, the health care segment suffers in process inefficiency and missing staff, whereas the usage of IVA has the potential to improve caring processes and patient satisfaction. By applying a design science approach and based on a qualitative study, we identify IVA requirements, barriers and design guidelines for the health care sector. The results reveal three important IVA functions: the ability to set appointments with care service staff, the documentation of health history and the communication with service staff. Integration, system stability and volume control are the most important nonfunctional requirements. Based on the interview results and project experiences, six design and implementation guidelines are derived.
Keywords
Schlüsselwörter
integrated voice assistant, speech recognition, human computer interaction, health care
References
Referenzen
1. Bitkom: Jeder vierte Deutsche möchte Sprachassistenten nutzen, https://www.bitkom.org/Presse/Presseinformation/Jeder-vierte-Deutsche-moechte-digitale- Sprachassistenten-nutzen.html (Accessed: 08.08.2019)
2. Statista: Smart Speaker und virtuelle Assistenten (2019), https://de.statista.com/statistik/studie/id/61562/dokument/smart-speaker-und-virtuelleassistenten/ (Accessed: 26.07.2019)
3. Bundesagentur für Arbeit: Arbeitsmarktsituation im Pflegebereich, https://statistik.arbeitsagentur.de/Statischer- Content/Arbeitsmarktberichte/Berufe/generische-Publikationen/Altenpflege.pdf (Accessed:
26.07.2019)
4. Wessel, L., Gersch, M.: From ICT to Integrated Care: The Performative Cohesion of Organizing Visions. In: Twenty-Third European Conference on Information Systems (ECIS) (2015)
5. Meister, S., Deiters, W., Schneider, C.: Sprachassistenten in der ambulanten Pflege – Ein Leitfaden für den Einsatz von Voice User Interfaces am Beispiel der kommerziellen Sprachassistenzsysteme Amazon Echo und Google Home für Senioren und Pflegekräfte. In: Boll, Hein et al. (Hg.) 2018 – Zukunft der Pflege, pp. 72–77 (2018)
6. van Dijk, J.A.G.M.: Digital divide research, achievements and shortcomings. Poetics 34, 221–235 (2006)
7. Sourbati, M.: ‘It could be useful, but not for me at the moment’: older people, internet access and e-public service provision. New Media & Society 11, 1083–1100 (2009)
8. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly 28, 75–105 (2004)
9. Hevner, A.R., Gregor, S.: Positioning and presenting design science research for maximum impact. MIS Quarterly 37, 337–355 (2013)
10. Kvale, S.: Doing Interviews. SAGE Publications, Ltd, London (2007)
11. Otoo, B.A., Salam, A.F.: Mediating Effect of Intelligent Voice Assistant (IVA), User Experience and Effective Use on Service Quality and Service Satisfaction and Loyalty. In: Thirty Ninth International Conference on Information Systems. San Francisco (2018)
12. Jiang, J., Hassan Awadallah, A., Jones, R., Ozertem, U., Zitouni, I., Gurunath Kulkarni, R., Khan, O.Z.: Automatic Online Evaluation of Intelligent Assistants. In: Gangemi, A., Leonardi, S., Panconesi, A. (eds.) Proceedings of the 24th International Conference on World Wide Web – WWW ‘15, pp. 506–516. ACM Press, New York, New York, USA (2015)
13. Alepis, E., Patsakis, C.: Monkey Says, Monkey Does: Security and Privacy on Voice Assistants. IEEE Access 5, 17841–17851 (2017)
14. Kepuska, V., Bohouta, G.: Next-Generation of virtual personal assistants (Microsoft Cortana, Apple Siri, Amazon Alexa and Google Home). In: 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pp. 99–103. IEEE (2018)
15. Kleinert, M., Helmke, H., Siol, G., Ehr, H., Cerna, A., Kern, C., Klakow, D., Motlicek, P., Oualil, Y., Singh, M., et al.: Semi-supervised Adaptation of Assistant Based Speech Recognition Models for different Approach Areas (2018)
16. Helmke, H., Rataj, J., Mühlhausen, T., Ohneiser, O., Ehr, H., Kleinert, M., Oualil, Y., Schulder, M.: Assistant-Based Speech Recognition for ATM Applications. In: Eleventh USA/Europe Air Traffic Management Research and Development Seminar (ATM2015) (2015)
17. Nagykaldi, Z., Mold, J.W.: The role of health information technology in the translation of research into practice: an Oklahoma Physicians Resource/Research Network (OKPRN) study. Journal of the American Board of Family Medicine: JABFM 20, 188–195 (2007)
18. Kumah-Crystal, Y.A., Pirtle, C.J., Whyte, H.M., Goode, E.S., Anders, S.H., Lehmann, C.U.: Electronic Health Record Interactions through Voice: A Review. Applied clinical informatics 9, 541–552 (2018)
19. Jamal, A., McKenzie, K., Clark, M.: The impact of health information technology on the quality of medical and health care: a systematic review. HEALTH INFORMATION MANAGEMENT JOURNAL 38 (2009)
20. Hillestad, R., Bigelow, J., Bower, A., Girosi, F., Meili, R., Scoville, R., Taylor, R.: Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health affairs (Project Hope) 24, 1103–1117 (2005)
21. Chaudhry, b., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., Morton, S.C., Shekelle, P.G.: Systematic Review Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care. Annals of Internal Medicine 144 (2016)
22. Kawamoto, K., Houlihan, C.A., Balas, E.A., Lobach, D.F.: Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ (Clinical research ed.) 330, 765 (2005)
23. Delpierre, C., Cuzin, L., Fillaux, J., Alvarez, M., Massip, P., Lang, T.: A systematic review of computer-based patient record systems and quality of care: more randomized clinical trials or a broader approach? International journal for quality in health care: journal of the International Society for Quality in Health Care 16, 407–416 (2004)
24. Du Toit, J., Hattingh, R., Pitcher, R.: The accuracy of radiology speech recognition reports in a multilingual South African teaching hospital. BMC medical imaging 15, 8 (2015)
25. Motyer, R.E., Liddy, S., Torreggiani, W.C., Buckley, O.: Frequency and analysis of nonclinical errors made in radiology reports using the National Integrated Medical Imaging System voice recognition dictation software. Irish journal of medical science 185, 921–927 (2016)
26. Bauermeister, J., Giguere, R., Leu, C.S., et al.: Interactive voice response system: data considerations and lessons learned during a rectal microbicide placebo adherence trial for young men who have sex with men. Journal of Medical Internet Research. 2017 (19)
27. Le Rouge, C.M., Leo, G.d.: Information Systems and Healthcare XXXV: Health Informatics Forums for Health Information Systems Scholars. Communications of the Association for Information Systems 27 (2010)
28. Kuechler, B., Vaishnavi, V.: Theory Development in Design Science Research: Anatomy of a Research Project. In: Proceedings of the Third International Conference on Design Science Research in Information Systems and Technology. Atlanta (2008)
29. Bichler, M.: Design Science in Information Systems Research: Martin Bichler referiert. WIRTSCHAFTSINFORMATIK 48, 133–142 (2006)
30. March, S.T., Smith, G.F.: Design and natural science research on information technology. Decision Support Systems 15, 251–266 (1995)
31. Gregor, S.: The nature of theory in information systems. MIS Quarterly 30, 611–642 (2006)
32. Markus, M.L., Majchrzak, A., Gasser, L.: A Design Theory for Systems That Support Emergent Knowledge Processes. MIS Quarterly 26, 179–212 (2002)
33. Vogelsang, K., Steinhüser, M., Hoppe, U.: A Qualitative Approach to Examine Technology Acceptance. In: 24 th International Conference on Infoamtion Systems (ICIS 2013) (2013)
34. Ryan, G.W., Bernard, R.: Datamanagement and Analysis Methods: Methods of Collecting and Analyzing Empirical Materials (2000)
35. Ryan, G.W.: Measuring the typicality of text: Using multiple coders for more than just reliability and validity checks (1999)
36. Landis, J.R., Koch, G.G.: The Measurement of Observer Agreement for Categorical Data. BIOMETRICS 33 (1977)
37. Dojchinovski, D., Ilievski, A., Gusev, M.: Interactive home healthcare system with integrated voice assistant. In: 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 284–288 (2019)